Contributed by Jingwen Leng
| Title | Key Words |
|---|---|
| Diannao: A small-footprint high-throughput accelerator for ubiquitous machine-learning | First DNN accelerator paper |
| Eyeriss:A spatial architecture for energy-efficient dataflow for convolutional neural networks | Data reuse, more principles for DNN accelerator |
| EIE: efficient inference engine on compressed deep neural network | First DNN compression paper |
| Minerva: Enabling low-power, highly-accurate deep neural network accelerators | Low voltage |
| Dadiannao: A machine-learning supercomputer | |
| Cnvlutin: Ineffectual-neuron-free deep neural network computing | |
| Cambricon: An instruction set architecture for neural networks |
| Title | Key Words |
|---|---|
| Convolution engine: balancing efficiency & flexibility in specialized computing | 2D convolvution |
| TABLA: A Unified Template-based Framework for Accelerating Statistical Machine Learning | |
| Pushing the Limits of Accelerator Efficiency While Retaining Programmability | |
| Dynamically Specialized Datapaths for Energy Efficient Computing | |
| Efficient execution of memory access phases using dataflow specialization | |
| Analyzing Behavior Specialized Acceleration | |
| Exploring the potential of heterogeneous von neumann/dataflow execution models | |
| Bundled Execution of Recurring Traces for Energy-Efficient General Purpose Processing | |
| A General Constraint-centric Scheduling Framework for Spatiale Architectures | |
| Architectural Specialization for Inter-Iteration Loop Dependence Patterns | |
| Stream-Dataflow Acceleration | |
| GPU-CC: a Reconfigurable GPU Architecture with Communicating Cores | |
| Single-Graph Multiple Flows: Energy Efficient Design Alternative for GPGPUs | |
| Control Flow Coalescing on a Hybrid Dataflow von Neumann GPGPU |
| Title | Key Words |
|---|---|
| SIMULTANEOUS MULTITHREADING: A Platform for Next-Generation Processors | SMT |
| Understanding sources of inefficiency in general-purpose chips | Energy efficiency |
| Dark Silicon and the End of Multicore Scaling | Multicore CPU |
| Composite Cores: Pushing Heterogeneity into a Core | Heterogeneous cores |
| Dynamic Branch Prediction with Perceptrons | Branch Prediction |
| Conservation Cores: Reducing the Energy of Mature Computations | CPU+ASIC |
| MorphCore: An Energy-Efficient Microarchitecture forHigh Performance ILP and High Throughput TLP | Heterogeneous cores |
| High-Performance and Energy-Efficient Mobile Web Browsing on Big/Little Systems | mobile computing |
| Title | Key Words |
|---|---|
| Analyzing CUDA workloads using a detailed GPU simulator | GPGPU-Sim |
| GPUWattch: enabling energy optimizations in GPGPUs | GPU Power |
| CAPRI: Prediction of Compaction-Adequacy for Handling Control-Divergence in GPGPU Architectures | Control Divergence in GPU |
| A Locality-Aware Memory Hierarchy for Energy-Efficient GPU Architectures | Memory Divergence in GPU |
| Title | Key Words |
|---|---|
| A reconfig-urable fabric for accelerating large-scale datacenter services | Datacenter |
| Title | Key Words |
|---|---|
| Bubble-up: Increasing utilization in modern warehouse scale computers via sensible co-locations | First co-location paper |
| Heracles: Improving Resource Efficiency at Scale |